Learn to Spell: Prompt Engineering (LLM Bootcamp)

New course announcement ✨

We're teaching an in-person LLM bootcamp in the SF Bay Area on November 14, 2023. Come join us if you want to see the most up-to-date materials building LLM-powered products and learn in a hands-on environment.

https://www.scale.bythebay.io/llm-wor...

Hope to see some of you there!

--------------------------------------------------------------------------------------------- In this video, Charles gives high-level intuitions and a default playbook for prompting language models. We consider two very different sources of intuition: "language models are statistical models of text" and "prompts are magic spells". Then, we review prompting techniques, like decomposition, reasoning, and reflection.

Download slides from the bootcamp website here: https://fullstackdeeplearning.com/llm...

Intro and outro music made with Riffusion: https://github.com/riffusion/riffusion

Watch the rest of the LLM Bootcamp videos here:    • LLM Bootcamp - Spring 2023  

00:00 Intro
02:15 Language models are statistical models of text
04:50 But "statistical model" gives bad intuition
08:35 Prompts are magic spells
09:57 Prompts are portals to alternate universes
16:42 A prompt can make a wish come true
23:03 A prompt can create a golem
27:10 Limitations of LLMs as simulators
32:17 Prompting techniques are mostly tricks
33:40 Few-shot learning isn't the right model for prompting
37:40 Character-level operations are hard
40:23 The prompting playbook: reasoning, reflection, & ensembling